Job Description

As a Senior or Expert level Data Scientist, you will support Geospatial mission activities by applying data science techniques to analyze, visualize, and interpret mission-relevant data. This role is well-suited for a junior data scientist eager to apply foundational skills in a real-world intelligence environment while learning from senior technical staff.

Responsibilities
• Apply Python-based data analysis techniques to mission-relevant datasets
• Support data exploration, transformation, and analysis efforts
• Develop visualizations and analytic outputs to support intelligence exploitation
• Assist with building and refining data-driven analytic workflows
• Leverage SQL and other tools to query and manage structured datasets
• Collaborate with analysts and engineers to test and refine analytic methodologies

Required Skills

• Active TS/SCI clearance with willingness to take a CI polygraph
• Ability to work onsite in Springfield, VA (40 hours/week)
• 4+ years of experience working with SQL or NoSQL databases and cloud architectures
• Experience leveraging APIs to query systems and migrate data
• Excellent written and verbal communication skills to articulate challenging technical concepts
• Experience with programming languages such as Python, JavaScript, or Java
• Experience developing, sustaining, and monitoring operational data pipelines supporting multiple data formats and interfaces

Desired Skills

• Desired: Experience working with NGA IT enterprise solutions (e.g., NGA CORE, NGA MLOps), ATO processes, and Government NPE certificates; experience implementing processes, standards, and tools within an organization based on the Scaled Agile Framework for Enterprise; experience developing dynamic visualizations.

Additional Details

Here's why you'll love working with us:
• Growth Opportunities: Build practical experience applying data science concepts, programming, and visualization techniques while developing mission-focused analytic skills.
• Tangible Impact: Your analyses and visualizations will directly support intelligence exploitation efforts and operational decision-making at NGA.
• Collaborative Culture: Work alongside analysts, engineers, and data professionals in a supportive environment that values teamwork and knowledge sharing.
• Exciting Challenges: Apply Python, SQL, and visualization tools to complex datasets while solving meaningful intelligence problems in a fast-paced mission setting.
• Values-Driven Leadership: Join a company that invests in early-career professionals and prioritizes growth, mentorship, and purpose-driven work.